machine learning Archives - Neo4j Graph Database Platform

This Week in Neo4j – Tensorflow, Neo4j Spatial, New A* Algorithm, Certification Tips

By Mark Needham | April 28, 2018

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have product review predictions with Tensorflow and Neo4j, tips and tricks for passing… Read more →

Keywords: graph algorithms • GraphQL • IoT • machine learning • neo4j certification • Pypher • python • tensorflow • twin4j

Graph Algorithms in Neo4j:
15 Different Graph Algorithms & What They Do

By Bryce Merkl Sasaki | April 23, 2018

Graph analytics have value only if you have the skills to use them and if they can quickly provide the insights you need. Therefore, the best graph algorithms are easy to use, fast to execute and produce powerful results. Neo4j… Read more →

Keywords: betweenness centrality • breadth-first search • clustering algorithms • depth-first search • graph algorithms • Graph Analytics • machine learning • Network Science • PageRank • union-find

Network Science: The Hidden Field behind Machine Learning, Economics and Genetics That You’ve (Probably) Never Heard of – An Interview with Dr. Aaron Clauset [Part 2]

By Bryce Merkl Sasaki | February 22, 2018

Last week, in part one of my interview with Dr. Aaron Clauset, we reviewed how network science was evolving and how it’s dismantling preconceived notions about networks in general. Clauset also stressed the crucial role of interdisciplinary collaboration when it… Read more →

Keywords: computational biology • computational social science • Connected Data • deep learning • ICON dataset • link prediction • machine learning • Netflix Prize • Network Science • Network Visualization

Network Science: The Hidden Field behind Machine Learning, Economics and Genetics That You’ve (Probably) Never Heard of – An Interview with Dr. Aaron Clauset [Part 1]

By Bryce Merkl Sasaki | February 13, 2018

I recently had the opportunity to combine work and pleasure and meet with Dr. Aaron Clauset, an expert on network science, data science and complex systems. In 2016, Clauset won the Erdos-Renyi Prize in Network Science but you might be… Read more →

Keywords: complex systems • cybersecurity • data science • economics • genetics • graph algorithms • ICON dataset • machine learning • Network Science • social network

Driving Predictive Analytics with the Power of Neo4j

By Rachel Howard | January 5, 2018

Editor’s Note: This presentation was given by Blake Nelson and Deve Palakkattukudy at GraphConnect San Francisco in October 2016. Presentation Summary Agero has been the industry leader in roadside assistance for the last 40 years. Much of their business depends… Read more →

Keywords: Connected Data • GeoHash • graph technology • graphconnect • machine learning • neo4j spatial • OpenStreetMap • predictive analytics • Rtree • stored procedures

Analyzing Twitter Hashtag Impact using Neo4j, Python & JavaScript

By Bryce Merkl Sasaki | October 13, 2017

This is the first demo I developed with Neo4j. The objective of the demo is to open the discussion about graph databases, Neo4j, big data, analytics and IBM Power Systems with our global customers. I decided to use Twitter as… Read more →

Keywords: bolt • data import • data model • graph algorithms • graph visualization • ibm power systems • javascript • machine learning • python • twitter

Machine Learning, Graphs and the Fake News Epidemic (Part 2)

By Bryce Merkl Sasaki | August 10, 2017

In last week’s post, we discussed why designing a fully automated fake news detector is currently infeasible and introduced a semi-automated, graph-based solution which would use machine learning to work alongside human fact checkers to scalably flag and quarantine fake… Read more →

Keywords: Connected Data • cypher • fake news • Graph Algorithm • graph database • graph technology • machine learning • pattern matching • relational model • sql

Machine Learning, Graphs and the Fake News Epidemic (Part 1)

By Bryce Merkl Sasaki | August 2, 2017

Regardless of your political affiliation or demographic it’s difficult to deny the effects of the recent fake news boom. The Pew Research Center conducted a survey that found that two in three adults in U.S. believe that the upsurge of… Read more →

Keywords: ai • artificial intelligence • BuzzFeed News • Connected Data • fake news • graph database • graph technology • Knowledge Graph • machine learning • machine learning algorithms

Integrating All of Biology into a Public Neo4j Database

By Rachel Howard | June 20, 2017

Editor’s Note: This presentation was given by Daniel Himmelstein at GraphConnect San Francisco in October 2016. Summary Himmelstein started his PhD research with the question: How do you teach a computer biology? He found the answer in a heterogenous network… Read more →

Keywords: biology • digitalocean • docker • drug repurposing • graphconnect • heterogeneous network • hetnet • machine learning • property graph • python

Accelerating Scientific Research through Machine Learning and Graphs

By Joy Chao | May 22, 2017

Editor’s Note: This presentation was given by Jorge Soto and Antonio Molins at GraphConnect San Francisco in October 2016. Here’s a quick review of what they covered: Introduction to the role of microRNA Monitoring microRNAs Applying the method to stomach… Read more →

Keywords: breast cancer • data analysis • graphconnect • Hadoop • Hive • machine learning • microfluidics • microRNA • natural language processing • stomach cancer

Relevant Search Leveraging Knowledge Graphs with Neo4j

By Bryce Merkl Sasaki | May 5, 2017

“Relevance is the practice of improving search results for users by satisfying their information needs in the context of a particular user experience, while balancing how ranking impacts business’s needs.”[1] Providing relevant information to the user performing search queries or… Read more →

Keywords: artificial intelligence • conceptnet • ecommerce • elasticsearch • Knowledge Graph • machine learning • natural language processing • product catalog • Recommendation Engine • user experience

The Top 10 Can’t-Miss Speakers at GraphConnect Europe [2017 Edition]

By Bryce Merkl Sasaki | April 11, 2017

You already know the top nine reasons you should attend GraphConnect Europe this year, but besides the fantastic networking opportunities with some of the world’s most advanced graph database developers, architects and CTOs, there’s one reason that outshines them all:… Read more →

Keywords: Airbnb • Capgemini UK • configuration management • data science • Deutsche Bahn • graphconnect • Kubernetes • machine learning • Orange • Telia Company

The 5-Minute Interview: John Swain, Data Science Product Manager at Right Relevance

By Rachel Howard | February 10, 2017

“When I initially chose Neo4j, it was a startup project. I found it extremely useful and easy to use, and immediately realized it was the way we wanted to develop,” says John Swain, Product Manager for Data Science and Data… Read more →

Keywords: 5-minute interview • APOC • betweenness centrality • Brexit • graph algorithms • machine learning • PageRank • RNeo4j • sql • US presidential election

How Will Graph Technology Propel the Internet of Things? [Virtual Panel]

By Bryce Merkl Sasaki | September 8, 2016

The Internet of Things (IoT) is undoubtedly one of the greatest growing tides in technology today. The IoT sector is set to revolutionize everything from home appliances and self-driving cars to building management and smart farming. And while consumer-oriented IoT… Read more →

Keywords: connected car • Geospatial • graph database • graph technology • Internet of Things • IoT • machine learning • relational database • sql • time-series data

The 5-Minute Interview: Rachel Lader, Software Engineer at Clippr

By Bryce Merkl Sasaki | March 11, 2016

For this week’s 5-Minute Interview, I caught up with Rachel Lader, a Software Engineer at Apple. Here’s what we talked about: Editor’s Note: Rachel’s work with Clippr is not in any way affiliated with her position at Apple, Inc. as… Read more →

Keywords: 5-minute interview • apple • cypher • express.js • machine learning • naive bayes • neo4j • node.js • orm • sql

Your Perfect Mix Tape for Original Art: Artfinder + Neo4j [Community Post]

By Bryce Merkl Sasaki | February 25, 2016

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] They say that that good artists copy, but great artists steal, right? At Artfinder, the global… Read more →

Keywords: art • art recommendations • artfinder • collaborative filtering • cypher • graph database • machine learning • neo4j • real-time recommendations • Recommendation Engine

The 5-Minute Interview: Mark Joslin, CTO of Maslow

By Bryce Merkl Sasaki | February 19, 2016

For this week’s 5-Minute Interview, I sat down with Mark Joslin, the CTO at Maslow. Mark is also the organizer of the New York City Neo4j Meetup group. Q: Tell me about your Neo4j project. Mark Joslin: We actually have… Read more →

Keywords: 5-minute interview • ai • cto • cypher • data model • machine learning • maslow • neo4j • Neon • social network

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